Modeling and optimizing an agro-supply chain considering different quality grades and storage systems for fresh products: a Benders decomposition solution approach

Keshavarz-Ghorbani, Fatemeh; Pasandideh, Seyed Hamid Reza

doi:10.1007/s10878-021-00802-5

Cited by 7 publications

(2 citation statements)

References 35 publications

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“…Ghezavat et al [18], while studying tomato logistics problems, used a mixed integer programming model, and Rocco et al [19] used linear programming methods for the same tomatoes. Keshavarz-Ghorbani et al [20] used the general algebraic modelling language (GAMS) for the same purposes, and Flores et al [21] applied the framework modelling approach for the strategic design of logistics procedures for local fresh-food systems. Petrychenko et al [22] and Wang et al [23] focused on solving the problem of fuzzy data and proposed a fuzzy mathematical model [22] and a hybrid model [23] for the supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

Mathematical Approach to the Formation of a Methodological Basis of Economic Rationality of Interaction of Elements of the System of Logistics Management in Agriculture

Lyshenko¹,

Oriekhova²,

Polyatykina³

et al. 2023

ФКДПТП

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The field of managing the logistics of agricultural products under significant dynamic changes in today's conditions requires the formation of new approaches using the possibilities of modern information tools. The article presents a systematic mathematical approach to logistics management in agriculture for conditions with an insignificant level of risk and under conditions of significant threats to the logistics processes of the agricultural industry. The presented study also examines the issue of analyzing the effectiveness of management actions in the logistics process, both operationally and strategically.The developed mathematical approach takes into account a wide range of conditions for carrying out logistics activities - both at a low level of risk in the implementation of the logistics process, and in circumstances of significant threats that lead to the minimization of the reliability of logistics in the agricultural sector. This is especially important today, given the significant level of negative impacts on logistics processes due to military threats. The growth of these influences even leads to the destabilization of the world food market, and the threat of famine in some regions of the world.The proposed mathematical approach takes into account both the emergence of new risks, the significantly increased dynamic nature of the effects on logistics activities in the agricultural sector of the economy, and the traditional specificity of the conditions for the implementation of logistics processes in the agricultural sector. The specificity of logistics management in the agricultural sector is due to the peculiarities of the agricultural production process; properties inherent in agricultural products, conditions of distribution of these products. This determines a wide range of tasks that must be performed by the logistics of the agricultural sector. This, in turn, creates a need for a highly adaptive dynamic approach when forming a set and combination of logistics tasks and goals. Algorithms, tools and methods were specially developed to implement this approach. In particular: the unification of target functions; the approach of flexible adaptive changes in the ranks of target functions to ensure the appropriate level of rationality of logistics process management; a compromise approach in the case of the need to simultaneously achieve a group of set goals or a group of goals; the approach of assessing the strategic impact of a management decision for operating not with static values of parameters, but with their trends over time. In general, this makes it possible to achieve the appropriate level of economic efficiency of agricultural logistics management even with dynamic changes in the conditions of its implementation and to ensure a high level of reliability of the logistics process even with an increase in the level of threats.

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Section: Literature Reviewmentioning

confidence: 99%

Mathematical Approach to the Formation of a Methodological Basis of Economic Rationality of Interaction of Elements of the System of Logistics Management in Agriculture

Lyshenko¹,

Oriekhova²,

Polyatykina³

et al. 2023

ФКДПТП

View full text Add to dashboard Cite

show abstract

“…Appropriate configuration of agro-supply chains becomes all the more critical issues owing to specific characteristics of agro-products. Keshavarz-Ghorbani and Pasandideh ( 2021 ) developed a multi-product multi-period MINLP model or an agro-supply chain contributing to purchase, facility location, and transportation decisions. Since the adjusting the temperature conditions affects the quality of the products and the result their useful life, this model determines the appropriate temperature conditions based on a variety of products.…”

Section: Literature Reviewmentioning

confidence: 99%

A sustainable supply chain network considering lot sizing with quantity discounts under disruption risks: centralized and decentralized models

et al. 2022

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This study proposes a framework for the main parties of a sustainable supply chain network considering lot-sizing impact with quantity discounts under disruption risk among the first studies. The proposed problem differs from most studies considering supplier selection and order allocation in this area. First, regarding the concept of the triple bottom line, total cost, environmental emissions, and job opportunities are considered to cover the criteria of sustainability. Second, the application of this supply chain network is transformer production. Third, applying an economic order quantity model lets our model have a smart inventory plan to control the uncertainties. Most significantly, we present both centralized and decentralized optimization models to cope with the considered problem. The proposed centralized model focuses on pricing and inventory decisions of a supply chain network with a focus on supplier selection and order allocation parts. This model is formulated by a scenario-based stochastic mixed-integer non-linear programming approach. Our second model focuses on the competition of suppliers based on the price of products with regard to sustainability. In this regard, a Stackelberg game model is developed. Based on this comparison, we can see that the sum of the costs for both levels is lower than the cost without the bi-level approach. However, the computational time for the bi-level approach is more than for the centralized model. This means that the proposed optimization model can better solve our problem to achieve a better solution than the centralized optimization model. However, obtaining this better answer also requires more processing time. To address both optimization models, a hybrid bio-inspired metaheuristic as the hybrid of imperialist competitive algorithm (ICA) and particle swarm optimization (PSO) is utilized. The proposed algorithm is compared with its individuals. All employed optimizers have been tuned by the Taguchi method and validated by an exact solver in small sizes. Numerical results show that striking similarities are observed between the results of the algorithms, but the standard deviations of PSO and ICA–PSO show better behavior. Furthermore, while PSO consumes less time among the metaheuristics, the proposed hybrid metaheuristic named ICA–PSO shows more time computations in all small instances. Finally, the provided results confirm the efficiency and the performance of the proposed framework and the proposed hybrid metaheuristic algorithm.

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A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment

Moghaddasi,

Majid,

Mohammadnazari

et al. 2023

J Comb Optim

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Modeling and optimizing an agro-supply chain considering different quality grades and storage systems for fresh products: a Benders decomposition solution approach

Cited by 7 publications

References 35 publications

Mathematical Approach to the Formation of a Methodological Basis of Economic Rationality of Interaction of Elements of the System of Logistics Management in Agriculture

Mathematical Approach to the Formation of a Methodological Basis of Economic Rationality of Interaction of Elements of the System of Logistics Management in Agriculture

A sustainable supply chain network considering lot sizing with quantity discounts under disruption risks: centralized and decentralized models

A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment

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